Titlebook: Dynamics and Stochastic Processes; Theory and Applicati Ricardo Lima,Ludwig Streit,Rui Vilela Mendes Conference proceedings 1990 Springer-V

AMOR

Women’s education in the U.S.S.R.: 1950–1985ion. This result is a counter-example to the traditional expectation that stochastic processes lead to a non convergence of the correlation dimension in computed or measured time series. These results also indicate that the observation of a finite dimension from the analysis of one or a few time ser

多樣

Gail P. Kelly,Sheila S. Slaughter of order a with 0 < . ≤ 1. A precise definition is obtained by using integrals instead of derivatives. This has the additional advantage of taking the initial condition automatically into account. The Green function for the fractional diffusion equation is obtained in closed form and its properties

entreat

https://doi.org/10.1007/3-540-52347-2complexity; diffusion; neural networks; stochastic process; stochastic processes

HALL

encomiast

Capitulate

無底

Women’s education in the U.S.S.R.: 1950–1985in computed or measured time series. These results also indicate that the observation of a finite dimension from the analysis of one or a few time series is not sufficient to infer the presence of a strange attractor in the system dynamics.

corpus-callosum

emulsify

Learning in neural networks,Boltzmann Machine Learning”. Both procedures can be viewed as strategies to minimize a suitably chosen error measure, and their performance depends on a number of parameters and implementation details. A simple model problem is used to illustrate how these dependences can affect the learning behavior.

CRUE

Deterministic chaos versus random noise: Finite correlation dimension for colored noises with powerin computed or measured time series. These results also indicate that the observation of a finite dimension from the analysis of one or a few time series is not sufficient to infer the presence of a strange attractor in the system dynamics.